Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/emerald-publishing/factors-comprehensively-influencing-acceptance-of-3d-printed-apparel-loJX72lzC8
References (50)
-
A. Burton-Jones, Geoffrey Hubona (2006)
The mediation of external variables in the technology acceptance modelInf. Manag., 43
-
Yiwen Gao, He Li, Yan Luo (2015)
An empirical study of wearable technology acceptance in healthcareInd. Manag. Data Syst., 115
-
Anol Bhattacherjee, G. Premkumar (2004)
Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal TestMIS Q., 28
-
Yong Wang, Soonkwan Hong, Hao Lou (2010)
Beautiful beyond Useful? The Role of Web AestheticsJournal of Computer Information Systems, 50
-
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
-
R. Melnikova, A. Ehrmann, K. Finsterbusch (2014)
3D printing of textile-based structures by Fused Deposition Modelling (FDM) with different polymer materialsIOP Conference Series: Materials Science and Engineering, 62
-
V. Chattaraman, N. Rudd (2006)
Preferences for Aesthetic Attributes in Clothing as a Function of Body Image, Body Cathexis and Body SizeClothing and Textiles Research Journal, 24
-
Mariëlle Creusen, J. Schoormans (2005)
The Different Roles of Product Appearance in Consumer Choice Biographical Sketches -
Dhruv Grewal, Jerry Gotlieb, H. Marmorstein (1994)
The Moderating Effects of Message Framing and Source Credibility on the Price-perceived Risk RelationshipJournal of Consumer Research, 21
-
June Lu, Lu-Zhuang Wang, L. Hayes (2012)
How Do Technology Readiness, Platform Functionality and Trust Influence C2c User Satisfaction?Journal of Electronic Commerce Research, 13
-
Shiu‐Wan Hung, Min-Jhih Cheng (2013)
Are you ready for knowledge sharing? An empirical study of virtual communitiesComput. Educ., 62
-
Kamal Manaktola, V. Jauhari (2007)
Exploring consumer attitude and behaviour towards green practices in the lodging industry in IndiaInternational Journal of Contemporary Hospitality Management, 19
-
Gordon Taub, T. Keith, Randy Floyd, K. McGrew (2008)
Effects of general and broad cognitive abilities on mathematics achievement.School Psychology Quarterly, 23
-
A. Parasuraman (2000)
Technology Readiness Index (Tri)Journal of Service Research, 2
-
Ulun Akturan, Nuray Tezcan (2012)
Mobile banking adoption of the youth marketMarketing Intelligence & Planning, 30
-
Caroline Cuny, M. Fornerino, A. Helme-Guizon (2015)
Can music improve e-behavioral intentions by enhancing consumers' immersion and experience?Inf. Manag., 52
-
Christine Page, P. Herr (2002)
An Investigation of the Processes by Which Product Design and Brand Strength Interact to Determine Initial Affect and Quality JudgmentsJournal of Consumer Psychology, 12
-
Fan-Yun Pai, Kai-I Huang (2011)
Applying the Technology Acceptance Model to the introduction of healthcare information systemsTechnological Forecasting and Social Change, 78
-
Mobile banking adoption of the youth market: perceptions and intentions
Marketing Intelligence & Planning, 30
-
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
-
Veronica Liljandera, Filippa Gillbergb, Johanna Gummerusc, Allard Rield (2006)
Technology readiness and the evaluation and adoption of self-service technologiesJournal of Retailing and Consumer Services, 13
-
Mark Dishaw, D. Strong (1999)
Extending the technology acceptance model with task-technology fit constructsInf. Manag., 36
-
M. Yi, J. Jackson, Jae Park, J. Probst (2006)
Understanding information technology acceptance by individual professionals: Toward an integrative viewInf. Manag., 43
-
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
-
S. Jin, Y. Kim (2013)
Differencial Effect of E-Banking Services Determinants -
P. Bentler, D. Bonett (1980)
Significance Tests and Goodness of Fit in the Analysis of Covariance StructuresPsychological Bulletin, 88
-
Designing with 3D printed textiles: a case study of material driven design
-
R. Walczuch, J. Lemmink, Sandra Streukens (2007)
The effect of service employees' technology readiness on technology acceptanceInf. Manag., 44
-
J. Hair (1972)
Multivariate data analysisInternational Statistical Review, 40
-
Scott MacKenzie, R. Lutz, G. Belch (1986)
The Role of Attitude toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations:Journal of Marketing Research, 23
-
Ki Kim, Donghee Shin (2015)
An acceptance model for smart watches: Implications for the adoption of future wearable technologyInternet Res., 25
-
A. Perry, Te-Lin Chung (2016)
Understand attitude-behavior gaps and benefit-behavior connections in Eco-ApparelJournal of Fashion Marketing and Management, 20
-
J. Mowen, Xiang Fang, Kristin Scott (2010)
Visual product aestheticsEuropean Journal of Marketing, 44
-
A. Perry (2016)
Consumers' acceptance of smart virtual closetsJournal of Retailing and Consumer Services, 33
-
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
-
Michael Buhrmester, T. Kwang, S. Gosling (2011)
Amazon's Mechanical TurkPerspectives on Psychological Science, 6
-
H. Marsh, D. Hocevar (1985)
Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups.Psychological Bulletin, 97
-
Y. Theng, K. Tan, Ee-Peng Lim, Jun Zhang, D. Goh, K. Chatterjea, C. Chang, Aixin Sun, Han Yu, N. Dang, Yuanyuan Li, Minh Vo (2007)
Mobile G-Portal supporting collaborative sharing and learning in geography fieldwork: an empirical study -
J. Lamb, M. Kallal (1992)
A Conceptual Framework for Apparel DesignClothing and Textiles Research Journal, 10
-
Randy Floyd, Elizabeth Meisinger, N. Gregg, T. Keith (2012)
An explanation of reading comprehension across development using models from Cattell–Horn–Carroll theory: Support for integrative models of readingPsychology in the Schools, 49
-
J. Sauer, A. Sonderegger (2011)
The influence of product aesthetics and user state in usability testingBehaviour & Information Technology, 30
-
Charles Colby, Ananthanarayanan Parasuraman (2001)
Techno-Ready Marketing: How and Why Your Customers Adopt Technology (Маркетинг технологий: как и почему Ваши потребители принимают технологии) -
Christos Melas, Leonidas Zampetakis, A. Dimopoulou, V. Moustakis (2011)
Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM modelJournal of biomedical informatics, 44 4
-
Clothing & textiles: consumer acceptance model of smart clothing according to innovation
International Journal of Human Ecology, 10
-
Joseph Goodman, Cynthia Cryder, Amar Cheema (2013)
Data collection in a flat world: the strengths and weaknesses of mechanical turk samplesJournal of Behavioral Decision Making, 26
-
Sangwon Lee, R. Koubek (2010)
Understanding user preferences based on usability and aesthetics before and after actual useInteract. Comput., 22
-
J. Chae (2009)
Consumer Acceptance Model of Smart Clothing according to InnovationInternational journal of human ecology, 10
-
Y. Yap, W. Yeong (2014)
Additive manufacture of fashion and jewellery products: a mini reviewVirtual and Physical Prototyping, 9
-
M. Gilly, Paul Merage, Gary Munsinger (2012)
MARY C. GILLY, MARY WOLFINBARGER CELSI, AND HOPE JENSEN SCHAU It Don't Come Easy: Overcoming Obstacles to Technology Use Within a Resistant Consumer Group -
S. Murali, S. Pugazhendhi, C. Muralidharan (2016)
Modelling and Investigating the relationship of after sales service quality with customer satisfaction, retention and loyalty – A case study of home appliances businessJournal of Retailing and Consumer Services, 30
- Publisher
- Emerald Publishing
- Copyright
- Copyright © Emerald Group Publishing Limited
- ISSN
- 1361-2026
- DOI
- 10.1108/JFMM-03-2016-0028
- Publisher site
- See Article on Publisher Site
Abstract
PurposeThe purpose of this paper is to incorporate an extended technology acceptance model (TAM) and examine how various factors comprehensively influence and determine consumers’ perceptions, attitude, and usage intention of 3D-printed apparel.Design/methodology/approachAn online survey was designed using established measures and 1,002 participants were recruited.FindingsAll external variables were related. Beyond indirect influences, tech optimism still moderately influenced ease of use, but weakly influenced attitude; aesthetics still strongly influenced usefulness and attitude, but weakly influenced usage intention; performance still strongly influenced ease of use, usefulness, and attitude. In addition, only indirect influences came from tech optimism to usefulness and usage intention, aesthetics to ease of use, and performance to usage intention. The TAM relationships were mostly confirmed, except ease of use to usefulness. Usage intention was mostly determined by attitude, which was largely influenced by design, performance, and usefulness, and limitedly contributed by aesthetics and usefulness.Research limitations/implicationsParticipants’ response might be influenced by the provided materials of 3D-printed apparel.Practical implicationsThe present study explicitly showed a complete picture about all possible influences among factors. Business managers can make strategies to meet consumers’ needs based on the current study without worrying about overlooking any possible effects.Originality/valueThe current study, for the first time, examined: consumers’ adoption intention of 3D-printed apparel, the relationships among external variables, and how external factors comprehensively influenced consumers’ perceptions, attitude, and usage intention.
Journal
Journal of Fashion Marketing and Management – Emerald Publishing
Published: May 8, 2017